Zobrazeno 1 - 10
of 107
pro vyhledávání: '"L. A. Bull"'
Publikováno v:
IFAC-PapersOnLine. 54:655-660
In the context of dynamic decoupling problems, engineering dynamics has long held modal analysis as an exemplar. The method allows the exact decomposition of linear multi-degree-of-freedom (MDOF) systems into single-degree-of-freedom (SDOF) oscillato
Autor:
R. Fuentes, E. J. Cross, P. A. Gardner, L. A. Bull, T. J. Rogers, R. J. Barthorpe, H. Shi, N. Dervilis, C. R. Farrar, K. Worden
Publikováno v:
Handbook of Experimental Structural Dynamics ISBN: 9781493965038
Handbook of Experimental Structural Dynamics ISBN: 9781461445463
Handbook of Experimental Structural Dynamics ISBN: 9781461445463
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93abb844d0049bc5c4821af584141d29
https://doi.org/10.1007/978-1-4939-6503-8_23-2
https://doi.org/10.1007/978-1-4939-6503-8_23-2
Autor:
R. Mills, Evangelos Papatheou, Keith Worden, Marcus Haywood-Alexander, Nikolaos Dervilis, Paul Gardner, L. A. Bull
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783030760038
Data Science in Engineering, Volume 9
Data Science in Engineering, Volume 9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2436c0ba03afcf3c6c2a654381beaa28
https://doi.org/10.1007/978-3-030-76004-5_22
https://doi.org/10.1007/978-3-030-76004-5_22
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783030760038
Population-based structural health monitoring (PBSHM) is a branch of structural health monitoring (SHM) which seeks to leverage information from across a population of structures, with the aim of making robust data-based models that generalise across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2e150ee30596ced0f3d7b82dc020084
https://doi.org/10.1007/978-3-030-76004-5_11
https://doi.org/10.1007/978-3-030-76004-5_11
Publikováno v:
Data Science in Engineering, Volume 9 ISBN: 9783030760038
Data-based approaches to structural health monitoring are typically constructed on the assumption that the underlying data distributions in training will be the same as those experienced when the method is deployed. However, structural repairs alter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4103a155cb2d874ae4ebcdc0777e3de1
https://doi.org/10.1007/978-3-030-76004-5_10
https://doi.org/10.1007/978-3-030-76004-5_10
Publikováno v:
Mechanical Systems and Signal Processing. 167:108519
Data-driven approaches to Structural Health Monitoring (SHM) generally suffer from a lack of available health-state data. In particular, for most structures, it is not possible to obtain a comprehensive set of labelled damage data – even covering t
Publikováno v:
Journal of autism and developmental disorders. 51(1)
Skin picking is highly prevalent in people with Prader-Willi syndrome (PWS). This study addressed the temporal (frequency, duration) and wider characteristics (e.g. type of skin picked, apparent motivations, or management strategies) of skin picking
Autor:
Keith Worden, Carles Campos, A.E. Maguire, L. A. Bull, Paul Gardner, Evangelos Papatheou, Nikolaos Dervilis, Timothy J. Rogers, Julian Gosliga, Elizabeth J. Cross
Publikováno v:
Model Validation and Uncertainty Quantification, Volume 3 ISBN: 9783030487782
Data-driven models in Structural Health Monitoring (SHM) generally require comprehensive datasets, recorded from systems in operation, which are rarely available. One potential solution to this problem, considers that information might be transferred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99759329a2bc56842ca74eae6bf610c5
https://doi.org/10.1007/978-3-030-47638-0_32
https://doi.org/10.1007/978-3-030-47638-0_32
Publikováno v:
Model Validation and Uncertainty Quantification, Volume 3 ISBN: 9783030487782
Population-based structural health monitoring (PBSHM) involves utilising knowledge from one set of structures in a population and applying it to a different set, such that predictions about the health states of each member in the population can be pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f678e0840d49b448c53006c83060455
https://doi.org/10.1007/978-3-030-47638-0_20
https://doi.org/10.1007/978-3-030-47638-0_20
Publikováno v:
Lake and Reservoir Management. 34:376-391
Miranda L, Bull L, Colvin M, Hubbard W, Pugh L. 2018. Segmentation of Mississippi’s natural and artificial lakes. Lake Reserv Manage. 34:376–391.Segmentations divide a diverse resource into groups,...